Cloudinary Blog

API for extracting semantic image data - colors, faces, Exif data and more

When images are involved, web developers have a large set of relevant tools at their disposal. You can display images in your web sites and mobile applications. You can manipulate and transform such images using image editing and manipulation software or cloud-based solutions like Cloudinary. But there are other types of data embedded in image files that can add unique semantic information to the images and are hardly ever used.
 
Consider what new designs can appear if your graphics designer could assume that only blue themed user uploaded photos will be featured on your homepage. What about featuring only photos that show your users' faces? How about photos taken with new DSLR model cameras rather than older pocket ones? Only photos taken in the GPS vicinity of your website visitor? We believe that such capabilities can offer a new, important tool for web design and development. 
 
Unfortunately, such semantic data is usually locked safely within the images and rarely utilized by developers and designers. We hope that we can change that by introducing a new Cloudinary API that allows you to easily extract rich information regarding your website and mobile application's photos. Using this information you can search, sort and classify your images in amazing new ways.
 

Predominant Colors & Color Histogram

Image search services such as Google Image Search allow you to filter your image search to show only images of a certain color. How is it done? Each image is analyzed and the colors of the images are mapped to one or more leading colors.
 
Cloudinary now supports finding the leading colors of a given image using a standard palette of 12 main colors. Since Cloudinary is a cloud-based service, all image processing is done online and no software installation is required on your side.
 
Finding the predominant colors in an image is also useful for stock-photo sites that wants to allow you to narrow photo searching by colors (see our previous post of how-to quickly build a stock-photo site with Cloudinary) and for e-commerce sites. For example: if you have a fashion site, and you want your users to browse only blue or red shirts.
 
For example, the following image with the public ID 'fashion1' was uploaded to Cloudinary:
 
 
 
Using Cloudinary's Admin API, you can extract the photo's main colors by setting the 'colors' parameter to true (see reference documentation). Here are examples for Ruby, PHP, Node.js and Python:
Cloudinary::Api.resource('fashion1', :colors => true)
$api->resource("fashion1", array("colors" => TRUE));
cloudinary.api.resource('fashion1',  
                        function(result)  { console.log(result) }, { colors: true });
cloudinary.api.resource("fashion1", colors = True)
 
Below is the JSON result of this API call. It seems that the main colors of this image are white (50.7%) and blue (27.8%), with touches of gray and brown. Cool.
{
  "public_id": "fashion1",
  "width": 225,
  "height": 380,
  ...
  "predominant": {
    "google": [
      [ "white", 50.7 ],
      [ "blue",  27.8 ],
      [ "gray", 11.2 ],
      [ "brown", 5.1]
    ]
  }
}
Using this info, you can keep the color mapping in your model and allow clothes to be searched based on colors. Searching for blue clothes should return this product.
 
Another result you get as part of the color information API is a histogram of 32 RGB colors that best represent the image. The following JSON snippet was also included in the result of the API call.
{
  "public_id": "fashion1",
  ...
  "colors": [["#FFFFFF", 50.7], ["#011B43", 5.8], ["#5077A7", 4.9], ["#031235", 4.3], ["#F4CBB4", 3.3], ["#3A6498", 1.9], ["#6284AF", 1.9], ["#2D5E95", 1.9], ["#30578B", 1.8], ["#080918", 1.8], ["#E5B09D", 1.8], ["#36262F", 1.7], ["#264876", 1.6], ["#281A25", 1.5], ["#486A99", 1.4], ["#E3D6CF", 1.4], ["#4D3135", 1.4], ["#07264F", 1.2], ["#664E55", 1.1], ["#6E443C", 1.0]]
}
As you can see, you get RGB format and percentage breakdown of the 32 colors that best represent the image. '#FFFFFF' is white, representing around half of the image, followed by multiple blue shades (e.g., '#011B43' is 5.8%).
 

Face detection info 

Cloudinary supports face detection based cropping and pixelation. Either a single face or multiple faces can be automatically detected. Our API now supports returning additional information regarding the detected faces in an uploaded photo. 
 
Simply set the 'faces' parameter to true in the same method we showed above for 'colors'. Note that you can enable multiple flags in a single call for fetching all information at once. The result includes the exact coordinates of all detected faces, allowing you to easily find out how many faces are available in the photo and their exact positions.
 
The following Ruby command asks for the faces information of the 'fashion1' image:
Cloudinary::Api.resource('fashion1', :faces => true)
Here is the JSON result:
{
  "public_id": "fashion1",
  ...
  "faces": [[99, 21, 64, 87]]
}
 
As you can see, a single face was correctly detected. It is positioned in the 99,21 - 64,87 rectangle of the original image.
 
Same works for images with multiple faces:
 
{
  ...
  "faces":  [ [513, 19, 38, 52], [409, 26, 40, 54], [79, 31, 43, 59], [232, 32, 40, 54], [321, 33, 41, 57], [160, 37, 43, 59], [211, 153, 43, 59], [503, 151, 43, 59], [113, 162, 40, 54], [427, 160, 45, 61], [307, 172, 48, 65] ]
}
Note that face detection does not achieve 100% accuracy. If you need better accuracy, human moderation is recommended.
 

Camera information - Exchangeable image file format (Exif)

Modern digital cameras and smartphones store additional metadata as part of the image files you shoot. Such information includes picture orientation, timestamps, camera model information, photo exposure, GPS location and more.
 
By setting the 'exif' parameter to true, Cloudinary's API can return the image's metadata (see our reference documentation). In the sections above we've shown how to use the Admin API for fetching information of previously uploaded images. You can also request this information while uploading the photos, so it is returned as part of an upload response.
 
For example, the following PHP command uploaded to Cloudinary a photo that was taken by an iPhone 4 in a portrait orientation.
\Cloudinary\Uploader::upload("exif_sample.jpeg", 
   array("public_id" => "exif_sample", "colors" => TRUE, "exif" => TRUE))
 
Here is the JSON of the upload response including the requested Exif and Colors information:
{ 
  "public_id": "exif_sample",
  "width": 2592,
  "height": 1936,
  ...
  "exif": {
    "ApertureValue": "4281/1441",
    "ColorSpace": "1",
    "ComponentsConfiguration": "1, 2, 3, 0",
    "Compression": "6",
    "DateTime": "2010:12:27 11:17:34",
    "DateTimeDigitized": "2010:12:27 11:17:34",
    "DateTimeOriginal": "2010:12:27 11:17:34",
    "ExifImageLength": "1936",
    "ExifImageWidth": "2592",
    "ExifOffset": "204",
    "ExifVersion": "48, 50, 50, 49",
    "ExposureMode": "0",
    "ExposureProgram": "2",
    "ExposureTime": "1/4309",
    "Flash": "24",
    "FlashPixVersion": "48, 49, 48, 48",
    "FNumber": "14/5",
    "FocalLength": "77/20",
    "GPSAltitude": "20723/924",
    "GPSAltitudeRef": "0",
    "GPSImgDirection": "42155/344",
    "GPSImgDirectionRef": "T",
    "GPSInfo": "574",
    "GPSLatitude": "21/1, 768/100, 0/1",
    "GPSLatitudeRef": "N",
    "GPSLongitude": "86/1, 4500/100, 0/1",
    "GPSLongitudeRef": "W",
    "GPSTimeStamp": "17/1, 17/1, 3326/100",
    "ISOSpeedRatings": "80",
    "JPEGInterchangeFormat": "870",
    "JPEGInterchangeFormatLength": "9932",
    "Make": "Apple",
    "MeteringMode": "1",
    "Model": "iPhone 4",
    "Orientation": "6",
    "ResolutionUnit": "2",
    "SceneCaptureType": "0",
    "SensingMethod": "2",
    "Sharpness": "2",
    "ShutterSpeedValue": "4781/396",
    "Software": "4.2.1",
    "SubjectArea": "1295, 967, 699, 696",
    "WhiteBalance": "0",
    "XResolution": "72/1",
    "YCbCrPositioning": "1",
    "YResolution": "72/1"
  },
  "colors":[["#CBC9C5",10.2],["#C4BCB4",9.0],["#1888AB",6.0],["#202618",6.0],["#226391",5.4],["#223A62",4.3],["#B9B4AD",3.8],["#2F88A1",3.5],["#C9C3BA",3.4],["#7492B2",3.4],["#157193",3.1],["#96ABCC",2.9],["#C8B495",2.8],["#4F97AB",2.8],["#484033",2.7],["#669FAD",2.5],["#A0A29E",2.4],["#38A7C8",2.3],["#57A5B7",2.3],["#2D8FAF",2.2],["#ACCADC",2.1],["#073554",2.0],["#60AFC7",2.0],["#1D4A6F",2.0],["#A39477",1.9],["#D1C4A0",1.8],["#296F96",1.7],["#4F6E91",1.5],["#5F5F57",1.4],["#90AECB",1.0]],
  "predominant": {"google":[["teal",41.7],["brown",35.6],["blue",12.1],["green",8.4]]
}
By the way, you can also use Cloudinary's Exif-based automatic rotation by setting the 'angle' parameter ('a' for URLs) to 'exif'. For example:
 
 
 

Summary

With the additional knowledge of image metadata and semantic information, you can enhance your image rich web and mobile applications with little effort, while Cloudinary does all the heavy lifting for you. These additional layers of information adds an important aspect that allows Cloudinary to offer a better than ever cloud-based solution to all your online image management and manipulation needs. 
 
All these new features were requested by Cloudinary's users and we thank all of you for that. We have plenty more ideas for enhancing Cloudinary's capabilities in this area and would love to hear your feedback and suggestions.
 
The ability to fetch Exif, FacesPredominant colors and Color histogram is now available to all of Cloudinary's plans, free and paid. Click here to setup a free Cloudinary account.

Recent Blog Posts

Improve user experience with responsive websites and applications
This article originally appeared on Inc. Magazine and is reprinted with permission.

Back in the day, responsive website design wasn't the business imperative that it is now. In fact, just having a functioning website was all that it took to set you apart, and if it had images that loaded correctly within a few minutes, then that was a nice bonus. Needless to say, but I'll say it anyway, those days are long gone.
Read more
What to consider when developing media rich websites and apps
Websites have evolved greatly over the past few years. Once text-heavy websites have become more eye-catching with prominent images and video. But the addition of richer media isn’t the only change impacting websites. Consumer behavior also factors into this evolution, as web access has moved from the desktop realm to a variety of different devices – smartphones, tablets, laptops, smartwatches and TVs – with different dimensions and resolutions. And consumers want to be able to access web content anytime and from any location.
 
To ensure that website performance is optimized, bandwidth usage is minimized and users have a top-notch experience, we will need to address many challenges.

High resolution images and videos

If a picture is worth 1,000 words, it’s no surprise that website owners are using images and videos as powerful tools on their websites to engage visitors. High-resolution images look best, but these files are so big that they cause websites to load slowly and use excessive bandwidth. These problems frustrate visitors, and potentially decrease their incentive to  engage further on the website.
Read more
Plugin for automatic responsive images in Jekyll-generated sites

This is a guest post by Nicolas Hoizey, co-founder of Clever Age and creator of the Jekyll Cloudinary plugin. Nicolas’ plugin leverages Cloudinary’s image storage, optimization, resizing, and delivery infrastructures to automate responsive images in Jekyll-generated static sites. We think it’s the bee’s knees, and invited Nicolas to write a bit about the process and motivation behind it. Without further ado, here’s Nicolas.

Read more
Cloudinary now delivers images and videos over HTTP/2

Even though websites have changed dramatically over the years – from simple text-based pages to advanced in-browser apps full of images and videos – the underlying HTTP protocol really hasn’t changed - until recently, with the approval of the HTTP/2 protocol by the IETF. Today Cloudinary is proud to announce, as part of a CDN infrastructure upgrade, general availability of HTTP/2 support in our image and video management solution. This will help you optimize the user experience on your app or website even more.

Read more